John Shawe-Taylor

发表

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2011, NeuroImage.

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space

Nello Cristianini, John Shawe-Taylor, Peter Sykacek, 1998, ICML.

Using Image Stimuli to Drive fMRI Analysis

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2007, ICONIP.

Special Issue of DAM on the Vapnik-chervonenkis Dimension

John Shawe-Taylor, 1998, Discret. Appl. Math..

Towards a Transformational Theory of Feedforward Neural Networks

John Shawe-Taylor, David Cohen, C. L. T. Mannion, 1988 .

Edge-colorability of graph bundles

Tomaz Pisanski, John Shawe-Taylor, Joze Vrabec, 1983, J. Comb. Theory, Ser. B.

Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine

John Shawe-Taylor, James Heather, Niclas Thomas, 2013, Bioinform..

Homeomorphism of 2-Complexes is Graph Isomorphism Complete

John Shawe-Taylor, Tomaž Pisanski, 1994, SIAM J. Comput..

Basic Statistical Learning Theory

John Shawe-Taylor, J. Shawe-Taylor, 2004 .

Distance-biregular graphs with 2-valent vertices and distance-regular line graphs

Bojan Mohar, John Shawe-Taylor, 1985, J. Comb. Theory, Ser. B.

KCCA for different level precision in content-based image retrieval

David R. Hardoon, John Shawe-Taylor, 2003 .

On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA

Nello Cristianini, Christopher K. I. Williams, John Shawe-Taylor, 2005, IEEE Transactions on Information Theory.

Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study

Thore Graepel, Ralf Herbrich, John Shawe-Taylor, 2000 .

PAC-Bayes bounds for stable algorithms with instance-dependent priors pdf

Shiliang Sun, John Shawe-Taylor, Csaba Szepesvari, 2018, NeurIPS.

Mathematical Models of Learning and Connectionism

John Shawe-Taylor, J. Shawe-Taylor, 1996 .

Kernel Methods for Pattern Analysis: List of pattern analysis methods

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2004 .

Handbook of Phenomenology and Cognitive Science

John Shawe-Taylor, John Shawe-Taylor, E. Baumgartner, 1996 .

Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97

John Shawe-Taylor, 2004, Machine Learning.

PAC-Bayes analysis of multi-view learning

Shiliang Sun, John Shawe-Taylor, Liang Mao, 2014, Inf. Fusion.

Novel techniques for fraud dectection in mobile telecommunications

Yves Moreau, John Shawe-Taylor, Bart Preneel, 1996 .

KCCA for fMRI Analysis

David R. Hardoon, John Shawe-Taylor, Ola Friman, 2004 .

Support vector and Kernel methods

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2003 .

KCCA Feature Selection for fMRI Analysis

David R. Hardoon, John Shawe-Taylor, Ola Friman, 2004 .

Neural Network Optimization for Good Generalization Performance

Jieyu Zhao, John Shawe-Taylor, 1994 .

A Kernel Canonical Correlation Analysis for Learning the Semantics of Text

Nello Cristianini, John Shawe-Taylor, Blaž Fortuna, 2007 .

Multiclass Learning at One-class Complexity

John Shawe-Taylor, Sandor Szedmak, J. Shawe-Taylor, 2005 .

Local online kernel ridge regression for forecasting of urban travel times

Jiaqiu Wang, John Shawe-Taylor, James Haworth, 2014 .

Multinomial Relevance Feedback for Content-based Image Retrieval

Dorota Glowacka, John Shawe-Taylor, 2010 .

Support Vector Method for Novelty Detection

Bernhard Schölkopf, Alexander J. Smola, John C. Platt, 1999, NIPS.

Signal Extraction for Brain-Computer Interface

David R. Hardoon, John Shawe-Taylor, 2003, NIPS 2003.

Neural prediction of higher-order auditory sequence statistics

John Shawe-Taylor, Sukhbinder Kumar, Nicholas Furl, 2011, NeuroImage.

Stability-Based Multivariate Mapping Using SCoRS

Janaina Mourão Miranda, John Shawe-Taylor, Jane M. Rondina, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Transformational theory of feedforward neural networks

John Shawe-Taylor, David A. Cohen, C. Mannion, 1988, Neural Networks.

Latent Semantic Kernels

Nello Cristianini, John Shawe-Taylor, Huma Lodhi, 2001, Journal of Intelligent Information Systems.

Kernel Methods for Pattern Analysis

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2003, ICTAI.

The SVM With Uneven Margins and Chinese Document Categorization

John Shawe-Taylor, Yaoyong Li, J. Shawe-Taylor, 2003, PACLIC.

LEARNING THE SEMANTICS OF MULTIMEDIA CONTENT WITH APPLICATION TO WEB IMAGE RETRIEVAL AND CLASSIFICATION

David R. Hardoon, John Shawe-Taylor, Alexei Vinokourov, 2003 .

Kernel Methods for Pattern Analysis

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2004 .

GAUSSIAN PROCESS MODELLING OF DEPENDENCIES IN MULTI-ARMED BANDIT PROBLEMS

Dorota Glowacka, John Shawe-Taylor, Louis Dorard, 2009 .

Covering Numbers and Support Vector Machines

Ying Guo, Peter L. Bartlett, John Shawe-Taylor, 2002 .

Valid generalisation of functions from close approximations on a sample

Martin Anthony, John Shawe-Taylor, 1994 .

Support Vector Machine to Synthesise Kernels

John Shawe-Taylor, Hongying Meng, Sandor Szedmak, 2004, Deterministic and Statistical Methods in Machine Learning.

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder

John Shawe-Taylor, Manel Martínez-Ramón, Vanessa Gómez-Verdejo, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Prediction with the SVM Using Test Point Margins

John Shawe-Taylor, Zakria Hussain, Süreyya Özögür-Akyüz, 2010, Data Mining.

The use of machine translation tools for cross-lingual text mining

John Shawe-Taylor, Blau Fortuna, J. Shawe-Taylor, 2005 .

Multivariate Effect Ranking via Adaptive Sparse PLS

Janaina Mourão Miranda, John Ashburner, John Shawe-Taylor, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Classification using String Kernels

Nello Cristianini, John Shawe-Taylor, Chris Watkins, 2000 .

Advanced Fraud Detection Techniques for Mobile Telephone Systems

Yves Moreau, John Shawe-Taylor, Bart Preneel, 1997 .

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2000 .

Automorphism Groups of Primitive Distance-Bitransitive Graphs are Almost Simple

John Shawe-Taylor, 1987, Eur. J. Comb..

Sparse Multiview Methods for Classification of Musical Genre from Magnetoencephalography Recordings

John Shawe-Taylor, Gabi Teodoru, Tom Diethe, 2009 .

Kernel Methods for Pattern Analysis: References

Nello Cristianini, John Shawe-Taylor, N. Cristianini, 2004 .

Gaussian Process Bandits for Tree Search pdf

John Shawe-Taylor, Louis Dorard, 2010, ArXiv.

First European Conference on Computational Learning Theory (EuroCOLT'93)

Martin Anthony, John Shawe-Taylor, 1994 .

Unsupervised analysis of fMRI data using kernel canonical correlation

Janaina Mourão Miranda, Michael J. Brammer, David R. Hardoon, 2007, NeuroImage.